Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "87"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 87 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 33 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 31 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 87, Node N08:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459848 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.249287 9.550069 4.429909 5.795352 39.874177 2.998155 0.800627 0.240926 0.6796 0.7713 0.3614 3.224629 2.912160
2459847 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.291591 10.610928 7.468173 5.824401 10.591646 1.101894 0.802069 1.355433 0.7460 0.7115 0.4164 5.386762 4.050514
2459846 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 14.513600 10.322612 3.780124 5.436814 16.771175 2.988278 0.305549 1.970786 0.8007 0.7119 0.3963 2.809987 2.846349
2459845 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 388.638219 388.503553 inf inf 7486.328750 7486.079883 5908.976358 5872.397742 nan nan nan 0.000000 0.000000
2459844 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459843 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459842 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 23.621357 8.331433 -0.653713 1.023252 0.059930 0.356858 0.012017 0.299780 0.7056 0.7094 0.2535 6.475179 4.109665
2459841 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459840 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 61.166784 43.956306 8.356342 6.818865 4.831914 3.214189 13.378367 8.369975 0.0264 0.0225 0.0013 nan nan
2459839 RF_maintenance 100.00% - - - - - 15.550716 11.195036 19.842494 16.696430 1.874586 0.786435 17.623509 10.724663 nan nan nan nan nan
2459838 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 34.450701 12.853747 1.832212 0.378348 5.321980 -0.156004 -0.208799 -0.808616 0.6829 0.7358 0.3664 2.878314 3.408264
2459835 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459833 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459832 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 17.427273 17.035288 3.338683 0.485075 35.611650 0.134942 34.676322 4.336840 0.7513 0.5724 0.5024 2.922071 2.830456
2459831 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 15.525595 10.944973 21.067548 18.077241 2.561873 1.216044 12.628855 7.745545 0.0273 0.0248 0.0012 nan nan
2459830 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 53.418819 17.409570 2.494157 1.164019 13.109691 -0.005674 14.719941 -0.735850 0.7037 0.5739 0.4495 3.664702 3.607709
2459829 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 12.042437 21.011945 3.466695 1.322287 26.256180 -0.017152 15.415779 2.612669 0.7320 0.6882 0.3827 0.000000 0.000000
2459828 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.932550 13.891469 2.306867 1.557480 40.710547 -0.084829 23.215085 0.778519 0.7754 0.5911 0.5045 3.604990 3.206388
2459827 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 22.113121 16.407422 3.624668 1.617132 20.055806 0.325369 71.380303 -0.278347 0.7175 0.6993 0.3852 8.248442 9.607054
2459826 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 32.703543 12.764866 2.413893 1.289429 36.797680 0.419237 42.738862 -0.538473 0.7228 0.6228 0.4143 4.666758 4.709614
2459825 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.024835 13.385525 5.481250 1.263223 2.705031 0.376452 -0.481396 -0.586042 0.8175 0.6324 0.5126 4.056265 3.725794
2459824 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.133899 13.612987 6.397015 1.222776 3.514956 -0.565833 0.060978 -0.723300 0.7455 0.7627 0.3500 4.026365 4.586212
2459823 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 6.918211 10.385934 7.149053 1.335014 6.515622 -0.228776 -1.247014 0.409423 0.7860 0.6743 0.4636 7.865166 7.569830
2459822 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 36.953223 12.662479 2.440386 1.527720 13.618307 0.881056 15.510699 -0.407926 0.7229 0.6569 0.4136 5.546224 4.673397
2459821 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 44.201039 12.793702 2.607859 1.329686 5.206033 0.062363 1.399728 -1.084867 0.7332 0.6840 0.3925 3.460158 3.288495
2459820 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.386775 16.321585 5.899571 1.477166 18.783805 0.745389 10.826457 0.538183 0.7900 0.7284 0.3823 4.092286 3.750733
2459817 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.493421 10.774955 1.310152 1.289313 23.258822 1.529736 10.932456 -0.644539 0.8026 0.7245 0.4441 2.657278 2.520703
2459816 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.655782 11.537240 7.574768 1.458208 9.412707 1.890074 5.827708 -0.482623 0.8521 0.6530 0.5478 3.858276 3.469047
2459815 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 33.367754 11.189604 2.322309 1.198971 13.779631 0.978215 5.090625 2.363882 0.7537 0.7312 0.3999 4.214129 3.203934
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 15.296005 21.510614 4.775020 0.670276 7.477805 1.661411 0.552210 0.966964 0.0923 0.1117 0.0253 1.201777 1.168666

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 87: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Temporal Variability 39.874177 9.550069 13.249287 5.795352 4.429909 2.998155 39.874177 0.240926 0.800627

Antenna 87: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape 10.610928 10.610928 4.291591 5.824401 7.468173 1.101894 10.591646 1.355433 0.802069

Antenna 87: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Temporal Variability 16.771175 14.513600 10.322612 3.780124 5.436814 16.771175 2.988278 0.305549 1.970786

Antenna 87: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Power inf 388.503553 388.638219 inf inf 7486.079883 7486.328750 5872.397742 5908.976358

Antenna 87: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 87: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 87: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Shape 23.621357 23.621357 8.331433 -0.653713 1.023252 0.059930 0.356858 0.012017 0.299780

Antenna 87: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 87: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Shape 61.166784 61.166784 43.956306 8.356342 6.818865 4.831914 3.214189 13.378367 8.369975

Antenna 87: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Power 19.842494 11.195036 15.550716 16.696430 19.842494 0.786435 1.874586 10.724663 17.623509

Antenna 87: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Shape 34.450701 12.853747 34.450701 0.378348 1.832212 -0.156004 5.321980 -0.808616 -0.208799

Antenna 87: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 87: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 87: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Temporal Variability 35.611650 17.427273 17.035288 3.338683 0.485075 35.611650 0.134942 34.676322 4.336840

Antenna 87: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Power 21.067548 15.525595 10.944973 21.067548 18.077241 2.561873 1.216044 12.628855 7.745545

Antenna 87: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Shape 53.418819 53.418819 17.409570 2.494157 1.164019 13.109691 -0.005674 14.719941 -0.735850

Antenna 87: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Temporal Variability 26.256180 21.011945 12.042437 1.322287 3.466695 -0.017152 26.256180 2.612669 15.415779

Antenna 87: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Temporal Variability 40.710547 13.891469 6.932550 1.557480 2.306867 -0.084829 40.710547 0.778519 23.215085

Antenna 87: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Temporal Discontinuties 71.380303 22.113121 16.407422 3.624668 1.617132 20.055806 0.325369 71.380303 -0.278347

Antenna 87: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Temporal Discontinuties 42.738862 12.764866 32.703543 1.289429 2.413893 0.419237 36.797680 -0.538473 42.738862

Antenna 87: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape 13.385525 13.385525 9.024835 1.263223 5.481250 0.376452 2.705031 -0.586042 -0.481396

Antenna 87: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape 13.612987 8.133899 13.612987 6.397015 1.222776 3.514956 -0.565833 0.060978 -0.723300

Antenna 87: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape 10.385934 10.385934 6.918211 1.335014 7.149053 -0.228776 6.515622 0.409423 -1.247014

Antenna 87: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Shape 36.953223 36.953223 12.662479 2.440386 1.527720 13.618307 0.881056 15.510699 -0.407926

Antenna 87: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Shape 44.201039 12.793702 44.201039 1.329686 2.607859 0.062363 5.206033 -1.084867 1.399728

Antenna 87: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Temporal Variability 18.783805 5.386775 16.321585 5.899571 1.477166 18.783805 0.745389 10.826457 0.538183

Antenna 87: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Temporal Variability 23.258822 9.493421 10.774955 1.310152 1.289313 23.258822 1.529736 10.932456 -0.644539

Antenna 87: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape 11.537240 11.537240 7.655782 1.458208 7.574768 1.890074 9.412707 -0.482623 5.827708

Antenna 87: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance ee Shape 33.367754 11.189604 33.367754 1.198971 2.322309 0.978215 13.779631 2.363882 5.090625

Antenna 87: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 87: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
87 N08 RF_maintenance nn Shape 21.510614 21.510614 15.296005 0.670276 4.775020 1.661411 7.477805 0.966964 0.552210
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